Production
Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.
About
This tool offers a robust, production-ready server foundation specifically designed for developing Model Context Protocol (MCP) servers using Python. It boasts a modular architecture supporting tools, resources, and prompts, integrates secure JWT authentication with flexible key management, and supports multiple transport options including stdio, SSE, and streamable HTTP. Built on the FastMCP framework, it emphasizes configurability via environment variables, comprehensive logging, and seamless deployment through Docker, making it an ideal starting point for developers building scalable and secure MCP-compliant applications.
Key Features
- Production-ready with comprehensive logging, error handling, and Docker support
- Environment variable-based configuration
- Modular architecture for tools, resources, and prompts
- Multiple transport options: stdio, SSE, and streamable HTTP
- Secure JWT authentication with RS256 encryption
- 0 GitHub stars
Use Cases
- Developing custom Model Context Protocol (MCP) servers
- Building secure, scalable AI/ML backend services
- Integrating AI models with web-based or direct MCP clients
